Leah Salome Anzetse, Zhaohua Chang, Jiahui Hu, Simon Nandwa Anjiri
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引用次数: 0
Abstract
Capacitive pressure sensors (CPS) have several applications and are widely used for pressure measurement. However, they have a significant disadvantage in terms of sensitivity versus dynamic range trade-off. Mostly, it is crucial and challenging to use CPS for noninvasive assessment of low pressure in medical flexible tubings. Diaphragm displacement of flat plate sensors due to a radial displacement of a fluid catheter is small. This makes the sensor insensitive because the transmission mechanism might not amplify the input displacement for minute but significant loads. Additionally, the dynamic range and sensitivity are reduced because of the small contact surface area between the catheter and a flat plate diaphragm. To address these challenges, we design and analyze a novel type of sensor, namely, the cylindrical shell capacitive pressure sensor (CS-CPS). CS-CPS allows increased contact surface area between the sensor and flexible tubings, thus enhancing input displacement, sensitivity, and simplicity of integration with flexible tubings. The sensor is designed and simulated in COMSOL Multiphysics. The finite element analysis method is utilized to analyze the diaphragm deformation and capacitance variations in response to pressure. For verification purposes, we do a mathematical analysis in MATLAB using the derived deformation and capacitance variation formulae. Compared to the flat plate sensor, the newly designed sensor achieved an increased diaphragm displacement of 2.49x10\(^{-7} \text{mm}\) and sensitivity of 2.312x10\(^{-21} \text{pF/Pa}\) without compromising the dynamic range. The CS-CPS has shown to be more effective than the flat plate sensor for noninvasive sensing of pressure in flexible tubings.
期刊介绍：
he Journal of Computational Electronics brings together research on all aspects of modeling and simulation of modern electronics. This includes optical, electronic, mechanical, and quantum mechanical aspects, as well as research on the underlying mathematical algorithms and computational details. The related areas of energy conversion/storage and of molecular and biological systems, in which the thrust is on the charge transport, electronic, mechanical, and optical properties, are also covered.
In particular, we encourage manuscripts dealing with device simulation; with optical and optoelectronic systems and photonics; with energy storage (e.g. batteries, fuel cells) and harvesting (e.g. photovoltaic), with simulation of circuits, VLSI layout, logic and architecture (based on, for example, CMOS devices, quantum-cellular automata, QBITs, or single-electron transistors); with electromagnetic simulations (such as microwave electronics and components); or with molecular and biological systems. However, in all these cases, the submitted manuscripts should explicitly address the electronic properties of the relevant systems, materials, or devices and/or present novel contributions to the physical models, computational strategies, or numerical algorithms.
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